Mircea Hulea

About

Mircea Hulea is a prominent researcher specializing in bio-inspired robotics, spiking neural networks (SNNs), and neuromorphic systems, with a particular focus on anthropomorphic robotic hand control. His work bridges computational neuroscience and robotics engineering, drawing on biological principles to develop intelligent control systems for artificial muscles and robotic joints. Hulea's most significant contributions center on applying SNNs to govern shape memory alloy (SMA) actuators in humanoid robotic arms and fingers, demonstrating how biologically plausible neural architectures can replicate the precision and fluidity of natural human hand movements. His research has progressively advanced from single-joint control to complex multi-joint anthropomorphic finger systems, incorporating adaptive learning mechanisms such as Hebbian learning and synaptic plasticity to enable robotic hands to acquire and refine motions autonomously. Beyond control systems, Hulea has pioneered neuromorphic sensing technologies, developing force-sensing resistor-based neuromorphic sensors and integrating visible light communications within SNN-driven robotic feedback loops. His cumulative citation count of approximately 88 across ten papers reflects growing international recognition of his work. His contributions are particularly valuable for students and engineers pursuing the next generation of dexterous, brain-inspired robotic prosthetics and humanoid systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Spiking neural network for controlling the artificial muscles of a humanoid robotic arm

   17 citations · 2014
2. 2
   Bio-Inspired Control System for Fingers Actuated by Multiple SMA Actuators

   15 citations · 2022
3. 3
   Adaptive SNN for Anthropomorphic Finger Control

   11 citations · 2021
4. 4
   Intelligent Motion Planning and Control for Robotic Joints Using Bio-Inspired Spiking Neural Networks

   9 citations · 2019
5. 5
   Robotic Joint Control System based on Analogue Spiking Neural Networks and SMA Actuators

   7 citations · 2019
6. 6
   Bioinspired SNN for robotic joint control

   7 citations · 2020
7. 7
   Neuromorphic Sensor Based on Force-Sensing Resistors

   6 citations · 2024
8. 8
   Neuromorphic Sensors with Visible Light Communications

   6 citations · 2022
9. 9
   Using Hebbian Learning for Training Spiking Neural Networks to Control Fingers of Robotic Hands

   5 citations · 2022
10. 10
    The Influence of the Number of Spiking Neurons on Synaptic Plasticity

    5 citations · 2023

Key Collaborators

Contact & Links